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), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
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postdoctoral position at the interface of decision analytic modeling, pharmacoepidemiology and clinical hematology-oncology within the Section of Medical Oncology and Hematology, Department of Internal Medicine
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. This role enables postdocs to gain expertise in causal analysis within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various
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. Experience working with rodent models is preferred but not required. The successful candidate should have excellent oral and written communication skill, be highly motivated for career development in
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, families), conduct school-based research, and maintain school relations Excellent statistics skills, including experience with longitudinal data analysis and multi-level modeling Excellent communication
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pressures. · Analytical Skills: Ability to conceptualize and conduct complex analyses that involve different typs of data (clinical, genetic, neuroimaging) · Capacity for independent work
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from clinical research to molecular studies in mouse models of disease. Training/Mentoring: The postdoctoral associate will have the opportunity to gain experience with in clinical and basic research
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models, and blockchain-based privacy-preserving learning. The focus will be blockchain technology and machine learning, and candidates with at least one of the backgrounds are welcomed to apply
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a particular focus on cytokine-based drugs, using immune competent murine models and human cell culture systems for early drug development. We also study mechanisms and determinants of immune related
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. This role enables postdocs to gain expertise in causal analysis within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various